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sara-m98/MAMO_GPT_2_DESCARTADO
MAMO_GPT_2_DESCARTADO is a token classification model from sara-m98. Use it when you need labels on individual words, such as names. It is set up for transformers.
Epoch Training Loss Validation Loss Precision Recall F1 Accuracy 1 3.918500 2.066817 0.000000 0.000000 0.000000 0.808381 2 0.462200 0.435293 0.216000 0.067248 0.102564 0.925704 3 0.368800 0.315322 0.342670 0.228518 0.…
Downloads · 30 days
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.safetensors498 MB · 99%
From the Hugging Face model README
Epoch Training Loss Validation Loss Precision Recall F1 Accuracy 1 3.918500 2.066817 0.000000 0.000000 0.000000 0.808381 2 0.462200 0.435293 0.216000 0.067248 0.102564 0.925704 3 0.368800 0.315322 0.342670 0.228518 0.274188 0.942177 4 0.265200 0.265912 0.438281 0.349315 0.388773 0.944820 5 0.235500 0.252256 0.442065 0.437111 0.439574 0.944584 6 0.197800 0.240639 0.461665 0.524907 0.491259 0.948312 7 0.159100 0.240741 0.477299 0.510585 0.493381 0.949003 8 0.144200 0.243670 0.458184 0.556040 0.502391 0.948687 9 0.115800 0.261192 0.397163 0.488169 0.437989 0.940500 10 0.110500 0.260426 0.443164 0.526775 0.481366 0.945886 11 0.081600 0.268203 0.429551 0.506849 0.465010 0.945294 12 0.086100 0.270014 0.412714 0.525529 0.462339 0.942670 13 0.082900 0.291830 0.400000 0.465753 0.430380 0.942374 14 0.069000 0.305032 0.420000 0.470735 0.443922 0.943282 15 0.066700 0.302393 0.431831 0.483188 0.456068 0.944446 16 0.066800 0.307584 0.423448 0.492528 0.455383 0.944150 17 0.061800 0.319186 0.428113 0.498755 0.460742 0.944012 18 0.054400 0.325527 0.433351 0.508095 0.467756 0.945077 19 0.054700 0.327999 0.415005 0.492528 0.450456 0.943617 20 0.043400 0.344858 0.415053 0.466999 0.439496 0.942946 21 0.041500 0.337979 0.449002 0.518057 0.481064 0.945156 22 0.035000 0.355671 0.431124 0.465753 0.447770 0.944327 23 0.035000 0.345297 0.427890 0.502491 0.462199 0.943637 24 0.040900 0.349494 0.440108 0.505604 0.470588 0.944110 25 0.045000 0.350966 0.422572 0.501245 0.458559 0.943558 26 0.034900 0.361274 0.426139 0.483188 0.452874 0.943400 27 0.036000 0.366199 0.432967 0.490660 0.460012 0.943578 28 0.037900 0.363155 0.424422 0.491283 0.455411 0.943341 29 0.037500 0.364137 0.443231 0.505604 0.472368 0.945254 30 0.031700 0.369087 0.440178 0.492528 0.464884 0.944505 31 0.034800 0.367538 0.437637 0.498132 0.465929 0.944623